Deck 16: Introduction to the Two-Way Analysis of Variance
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Deck 16: Introduction to the Two-Way Analysis of Variance
1
The row variance estimate MSrows and the column variance estimate MScolumns are used to measure _________.
A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
the main effects of the independent variables
2
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.
F obt for the interaction equals _________.
A) 2.66
B) 16.34
C) 29.11
D) 11.23

A) 2.66
B) 16.34
C) 29.11
D) 11.23
2.66
3
A significant interaction effect occurs when _________.
A) there are no main effects
B) variable A has a main effect and variable B does not
C) the combined effects of variables A and B yield an unexpected effect
D) none of these
A) there are no main effects
B) variable A has a main effect and variable B does not
C) the combined effects of variables A and B yield an unexpected effect
D) none of these
the combined effects of variables A and B yield an unexpected effect
4
A main effect for variable A means that _________.
A) the effect of variable A is the same over all levels of variable B
B) the effect of variable A is significant when averaged over all levels of variable B
C) the effect of variable A is not the same over all levels of variable B
D) variable A has a greater effect than variable B
A) the effect of variable A is the same over all levels of variable B
B) the effect of variable A is significant when averaged over all levels of variable B
C) the effect of variable A is not the same over all levels of variable B
D) variable A has a greater effect than variable B
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5
In a two-way ANOVA, if there is a significant interaction between Factor A and Factor B , which of the following may be true?
A) the effect of Factor A is not the same at all levels of Factor B
B) The effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
A) the effect of Factor A is not the same at all levels of Factor B
B) The effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
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6
If the null hypothesis is correct, which of the following is (are) an estimate of s 2 ?
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
E) all of these
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
E) all of these
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7
Which of the following are called "main effects" in a two-way analysis of variance?
A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) the effect of Factor A and B
A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) the effect of Factor A and B
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8
Which of the following increase(s) as the interaction effect increases?
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
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9
The conclusion regarding the B variable is _________.
A) reject H 0 ; variable B has no effect
B) retain H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant main effect for variable B
D) accept H 0 ; chance is a reasonable explanation
A) reject H 0 ; variable B has no effect
B) retain H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant main effect for variable B
D) accept H 0 ; chance is a reasonable explanation
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10
Which of the following increase(s) as the effect of the B variable increases?
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
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11
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.
F crit for the A variable equals _________.
A) 3.40
B) 7.82
C) 5.81
D) 4.26

A) 3.40
B) 7.82
C) 5.81
D) 4.26
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12
The conclusion regarding the A variable is _________.
A) retain H 0 ; chance is a reasonable explanation
B) reject H 0 ; there is a significant main effect for variable A
C) accept H 0 ; variable A has no real effect
D) reject H 0 ; chance is a reasonable explanation
A) retain H 0 ; chance is a reasonable explanation
B) reject H 0 ; there is a significant main effect for variable A
C) accept H 0 ; variable A has no real effect
D) reject H 0 ; chance is a reasonable explanation
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13
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.
F crit for the interaction equals _________.
A) 3.40
B) 7.82
C) 5.81
D) 4.26

A) 3.40
B) 7.82
C) 5.81
D) 4.26
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14
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.
F crit for the B variable equals _________.
A) 3.40
B) 7.82
C) 5.81
D) 4.26

A) 3.40
B) 7.82
C) 5.81
D) 4.26
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15
Which of the following increase(s) as the effect of the A variable increases?
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
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16
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.
F obt for the A variable equals _________.
A) 2.66
B) 16.34
C) 29.11
D) 11.23

A) 2.66
B) 16.34
C) 29.11
D) 11.23
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17
The two-way analysis of variance _________.
A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
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18
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.
F obt for the B variable equals _________.
A) 2.66
B) 16.34
C) 29.11
D) 11.23

A) 2.66
B) 16.34
C) 29.11
D) 11.23
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19
If there are no main effects, then _________.
A) MScolumns / MSwithin-cells is less than F crit
B) MSrows / MSwithin-cells is less than F crit
C) MSinteraction / MSwithin-cells is less than Fcrit
D) MScolumns / MSwithin-cells is less than F crit and MSrows / MSwithin-cells is less than F crit
A) MScolumns / MSwithin-cells is less than F crit
B) MSrows / MSwithin-cells is less than F crit
C) MSinteraction / MSwithin-cells is less than Fcrit
D) MScolumns / MSwithin-cells is less than F crit and MSrows / MSwithin-cells is less than F crit
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20
If the A variable has a real effect, _________.
A) MScolumns / MSwithin-cells must equal or exceed F crit
B) MSrows / MSwithin-cells must equal or exceed F crit
C) it is possible that MScolumns / MSwithin-cells is less than F crit
D) it is possible that MSrows / MSwithin-cells is less than F crit
A) MScolumns / MSwithin-cells must equal or exceed F crit
B) MSrows / MSwithin-cells must equal or exceed F crit
C) it is possible that MScolumns / MSwithin-cells is less than F crit
D) it is possible that MSrows / MSwithin-cells is less than F crit
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21
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The conclusion regarding the main effect of variable A is _________.
A) Retain H0 . We cannot conclude variable A has main effect.
B) Accept H0 . We cannot conclude variable A has main effect.
C) Reject H0 . Variable A has a significant main effect.
D) Reject H0 . Variable A has no effect.

A) Retain H0 . We cannot conclude variable A has main effect.
B) Accept H0 . We cannot conclude variable A has main effect.
C) Reject H0 . Variable A has a significant main effect.
D) Reject H0 . Variable A has no effect.
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22
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. 
A) there is a significant main effect for factor A , no other significant effects
B) there is a significant main effect for factor B , no other significant effects
C) there is a significant interaction effect, no other significant effects
D) there is a significant main effect for factor A , a significant interaction effect, and no other significant effects
E) there is a significant main effect for factor B , a significant interaction effect, and no other significant effects

A) there is a significant main effect for factor A , no other significant effects
B) there is a significant main effect for factor B , no other significant effects
C) there is a significant interaction effect, no other significant effects
D) there is a significant main effect for factor A , a significant interaction effect, and no other significant effects
E) there is a significant main effect for factor B , a significant interaction effect, and no other significant effects
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23
The two-way analysis of variance _________.
A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
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24
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The value of F obt for evaluating the row column effect is _________.
A) 0.66
B) 6.23
C) 0.29
D) 5.28

A) 0.66
B) 6.23
C) 0.29
D) 5.28
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25
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. 
A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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26
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The value of F crit for evaluating the column effect is _________.
A) 3.40
B) 7.82
C) 4.26
D) 5.61

A) 3.40
B) 7.82
C) 4.26
D) 5.61
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27
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The conclusion regarding the main effect of variable B is _________.
A) Retain H0 . We cannot conclude variable B has main effect.
B) Accept H0 . We cannot conclude variable B has main effect.
C) Reject H0 . Variable B has a significant main effect.
D) Reject H0 . Variable B has no effect.

A) Retain H0 . We cannot conclude variable B has main effect.
B) Accept H0 . We cannot conclude variable B has main effect.
C) Reject H0 . Variable B has a significant main effect.
D) Reject H0 . Variable B has no effect.
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28
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The conclusion regarding the interaction effect of variables A and B is _________.
A) Retain H0 . We cannot conclude there is a significant interaction
B) Accept H0 . There is no interaction effect between A and B
C) Reject H0 . There is a significant interaction effect.
D) Reject H0 . There is no interaction effect between A and B

A) Retain H0 . We cannot conclude there is a significant interaction
B) Accept H0 . There is no interaction effect between A and B
C) Reject H0 . There is a significant interaction effect.
D) Reject H0 . There is no interaction effect between A and B
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29
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. 
A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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30
The row variance estimate MSrows and the column variance estimate MScolumns are used to measure _________.
A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
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31
Which of the following are called "main effects" in a two-way analysis of variance?
A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) all of these
E) the effect of Factor A and B
A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) all of these
E) the effect of Factor A and B
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32
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The value of F crit for evaluating the row effect is _________.
A) 3.40
B) 7.82
C) 4.26
D) 5.61

A) 3.40
B) 7.82
C) 4.26
D) 5.61
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33
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The value of F crit for evaluating the row column effect is _________.
A) 3.40
B) 7.82
C) 4.26
D) 5.61

A) 3.40
B) 7.82
C) 4.26
D) 5.61
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34
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. 
A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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35
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. 
A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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36
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The value of F obt for evaluating the column effect is _________.
A) 0.66
B) 6.23
C) 0.29
D) 5.28

A) 0.66
B) 6.23
C) 0.29
D) 5.28
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37
In a two-way ANOVA, if there is a significant interaction between Factor A and Factor B , which of the following may be true?
A) the effect of Factor A is not the same at all levels of Factor B
B) the effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
E) need more information
A) the effect of Factor A is not the same at all levels of Factor B
B) the effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
E) need more information
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38
How many variance estimates are there in a 2 x 2 factorial design?
A) 1
B) 2
C) 3
D) 4
A) 1
B) 2
C) 3
D) 4
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39
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.
The value of F obt for evaluating the row effect is _________.
A) 0.66
B) 6.23
C) 0.29
D) 5.28

A) 0.66
B) 6.23
C) 0.29
D) 5.28
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40
The conclusion regarding the interaction is _________.
A) retain H 0 ; chance is a reasonable explanation
B) accept H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant interaction between variables A and B
D) reject H 0 ; there is no interaction between variables A and B
A) retain H 0 ; chance is a reasonable explanation
B) accept H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant interaction between variables A and B
D) reject H 0 ; there is no interaction between variables A and B
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41
ΣSw for one-way ANOVA and ΣSwithin-cells for two-way ANOVA are conceptually similar.
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42
ΣSB for one-way ANOVA is conceptually similar to ΣSrows and ΣScolumns for two-way ANOVA.
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43
In two-way ANOVA, ΣStotal is partitioned into ΣSrows , ΣSwithin-cells , ΣScolumns and ΣSinteraction .
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44
To answer this question, refer to the following two-way ANOVA summary table
What is the value for df within-cells ?
A) 2
B) 1
C) 34
D) 24

A) 2
B) 1
C) 34
D) 24
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45
Differences among cell means are used to assess the interaction effect.
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46
To answer this question, refer to the following two-way ANOVA summary table
What is the value for MSwithin-cells ?
A) 260.4
B) 130.2
C) 10.85
D) 8.98

A) 260.4
B) 130.2
C) 10.85
D) 8.98
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47
The row variance estimate does not change as the effect of independent variable A increases.
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48
A significant interaction effect occurs when the effects of one of the variables is not the same at all levels of the other variable.
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49
Differences among row means are used to assess the interaction effect.
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50
The within-cells variance estimate measures treatment effects.
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51
Differences among column means are used to assess the main effect of one of the variables
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52
Consider the following graphic results from a 2 x 2 factorial experiment.
Do you think there is a significant A x B interaction?
A) Yes
B) No, it is not possible to have a significant interaction in a 2 x 2 factorial experiment.
C) No, the lines should be parallel for a significant interaction
D) none of these

A) Yes
B) No, it is not possible to have a significant interaction in a 2 x 2 factorial experiment.
C) No, the lines should be parallel for a significant interaction
D) none of these
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53
To answer this question, refer to the following two-way ANOVA summary table
What is the value for MSrows ?
A) 225.25
B) 450.5
C) 225.50
D) 9.39

A) 225.25
B) 450.5
C) 225.50
D) 9.39
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54
To answer this question, refer to the following two-way ANOVA summary table
What is the value of F obt for Rows?
A) 20.76
B) 195.87
C) 1.94
D) 22.53

A) 20.76
B) 195.87
C) 1.94
D) 22.53
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55
To answer this question, refer to the following two-way ANOVA summary table
What is the value for ΣSwithin-cells ?
A) 160.4
B) 260.4
C) 250.4
D) 150.4

A) 160.4
B) 260.4
C) 250.4
D) 150.4
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56
In the one-way ANOVA, the within-groups variance estimate is like _________ in two-way ANOVA.
A) the row variance estimate
B) the within-cells variance estimate
C) the column variance estimate
D) the interaction variance estimate
A) the row variance estimate
B) the within-cells variance estimate
C) the column variance estimate
D) the interaction variance estimate
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57
To answer this question, refer to the following two-way ANOVA summary table
What is the value of F obt for Columns?
A) 11.64
B) 10.73
C) 4.85
D) 4.01

A) 11.64
B) 10.73
C) 4.85
D) 4.01
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58
Which of the following are not true statements?
A) The main effect of factor A is the effect of factor A averaged over the levels of factor B .
B) The main effect of factor B is the effect of factor B averaged over the levels of factor A .
C) An interaction effect occurs when the effect of one factor is the same for all levels of the other factor.
D) All of these statements are false.
A) The main effect of factor A is the effect of factor A averaged over the levels of factor B .
B) The main effect of factor B is the effect of factor B averaged over the levels of factor A .
C) An interaction effect occurs when the effect of one factor is the same for all levels of the other factor.
D) All of these statements are false.
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59
The column variance estimate increases as the effect of independent variable B increases.
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60
ΣS total = ΣSrows + ΣScolumns + ΣSwithin-cells.
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61
MSwithin-cells is sensitive to the effects of variable A or B .
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62
It is not possible to have an interaction effect unless one of the variables also has a main effect.
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63
A factorial experiment is one in which the effect of two or more factors is assessed in one experiment.
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64
In a two-way ANOVA, we do three F tests.
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65
In general, the alternative hypothesis for two-way ANOVA can be directional.
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66
It is not possible to have a significant interaction effect unless one of the variables also has a significant main effect.
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67
A two factor experiment yields no more information than two single factor experiments.
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68
MStotal = MSrows + MScolumns + MSinteraction + MSwithin-cells .
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69
The sum of df rows , df columns , df interaction , and df within-cells is N - 1.
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70
A main effect refers to the average effect of the variable.
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71
If there is an interaction between the variables of "activity level" and "time of day," this means that activity level does not have the same effect at different times of day.
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72
Two-way ANOVA is like two one-way ANOVA experiments, plus it gives us the ability to analyze the interaction of the two variables.
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73
A "mean square" is the same thing as a "variance estimate".
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74
A 2 * 4 factorial experiment has 2 levels of one variable and 4 levels of the other variable.
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75
MSrows is sensitive to the effects of variable A .
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76
The homogeneity of variance assumption assumes the population scores from which each of the samples are drawn are normally distributed.
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77
In a two-way ANOVA, it is possible to have significant main effects without a significant interaction.
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78
In a two-way ANOVA, there are three possible main effects and one interaction.
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79
ΣStotal = ΣSrows + ΣScolumns + ΣSinteraction + ΣSwithin-cells .
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80
MScolumns is a measure of only s 2 , regardless of whether the variables have a main effect.
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